Package onnx
Class Onnx.ModelProto.Builder
java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
onnx.Onnx.ModelProto.Builder
- All Implemented Interfaces:
com.google.protobuf.Message.Builder
,com.google.protobuf.MessageLite.Builder
,com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
,Cloneable
,Onnx.ModelProtoOrBuilder
- Enclosing class:
- Onnx.ModelProto
public static final class Onnx.ModelProto.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
implements Onnx.ModelProtoOrBuilder
Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata. The semantics of the model are described by the associated GraphProto's.Protobuf type
onnx.ModelProto
-
Method Summary
Modifier and TypeMethodDescriptionaddAllFunctions
(Iterable<? extends Onnx.FunctionProto> values) A list of function protos local to the model.addAllMetadataProps
(Iterable<? extends Onnx.StringStringEntryProto> values) Named metadata values; keys should be distinct.addAllOpsetImport
(Iterable<? extends Onnx.OperatorSetIdProto> values) The OperatorSets this model relies on.addAllTrainingInfo
(Iterable<? extends Onnx.TrainingInfoProto> values) Training-specific information.addFunctions
(int index, Onnx.FunctionProto value) A list of function protos local to the model.addFunctions
(int index, Onnx.FunctionProto.Builder builderForValue) A list of function protos local to the model.addFunctions
(Onnx.FunctionProto value) A list of function protos local to the model.addFunctions
(Onnx.FunctionProto.Builder builderForValue) A list of function protos local to the model.A list of function protos local to the model.addFunctionsBuilder
(int index) A list of function protos local to the model.addMetadataProps
(int index, Onnx.StringStringEntryProto value) Named metadata values; keys should be distinct.addMetadataProps
(int index, Onnx.StringStringEntryProto.Builder builderForValue) Named metadata values; keys should be distinct.Named metadata values; keys should be distinct.addMetadataProps
(Onnx.StringStringEntryProto.Builder builderForValue) Named metadata values; keys should be distinct.Named metadata values; keys should be distinct.addMetadataPropsBuilder
(int index) Named metadata values; keys should be distinct.addOpsetImport
(int index, Onnx.OperatorSetIdProto value) The OperatorSets this model relies on.addOpsetImport
(int index, Onnx.OperatorSetIdProto.Builder builderForValue) The OperatorSets this model relies on.The OperatorSets this model relies on.addOpsetImport
(Onnx.OperatorSetIdProto.Builder builderForValue) The OperatorSets this model relies on.The OperatorSets this model relies on.addOpsetImportBuilder
(int index) The OperatorSets this model relies on.addRepeatedField
(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) addTrainingInfo
(int index, Onnx.TrainingInfoProto value) Training-specific information.addTrainingInfo
(int index, Onnx.TrainingInfoProto.Builder builderForValue) Training-specific information.Training-specific information.addTrainingInfo
(Onnx.TrainingInfoProto.Builder builderForValue) Training-specific information.Training-specific information.addTrainingInfoBuilder
(int index) Training-specific information.build()
clear()
A human-readable documentation for this model.Domain name of the model.clearField
(com.google.protobuf.Descriptors.FieldDescriptor field) A list of function protos local to the model.The parameterized graph that is evaluated to execute the model.The version of the IR this model targets.Named metadata values; keys should be distinct.The version of the graph encoded.clearOneof
(com.google.protobuf.Descriptors.OneofDescriptor oneof) The OperatorSets this model relies on.The name of the framework or tool used to generate this model.The version of the framework or tool used to generate this model.Training-specific information.clone()
static final com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
A human-readable documentation for this model.com.google.protobuf.ByteString
A human-readable documentation for this model.Domain name of the model.com.google.protobuf.ByteString
Domain name of the model.getFunctions
(int index) A list of function protos local to the model.getFunctionsBuilder
(int index) A list of function protos local to the model.A list of function protos local to the model.int
A list of function protos local to the model.A list of function protos local to the model.getFunctionsOrBuilder
(int index) A list of function protos local to the model.List<? extends Onnx.FunctionProtoOrBuilder>
A list of function protos local to the model.getGraph()
The parameterized graph that is evaluated to execute the model.The parameterized graph that is evaluated to execute the model.The parameterized graph that is evaluated to execute the model.long
The version of the IR this model targets.getMetadataProps
(int index) Named metadata values; keys should be distinct.getMetadataPropsBuilder
(int index) Named metadata values; keys should be distinct.Named metadata values; keys should be distinct.int
Named metadata values; keys should be distinct.Named metadata values; keys should be distinct.getMetadataPropsOrBuilder
(int index) Named metadata values; keys should be distinct.List<? extends Onnx.StringStringEntryProtoOrBuilder>
Named metadata values; keys should be distinct.long
The version of the graph encoded.getOpsetImport
(int index) The OperatorSets this model relies on.getOpsetImportBuilder
(int index) The OperatorSets this model relies on.The OperatorSets this model relies on.int
The OperatorSets this model relies on.The OperatorSets this model relies on.getOpsetImportOrBuilder
(int index) The OperatorSets this model relies on.List<? extends Onnx.OperatorSetIdProtoOrBuilder>
The OperatorSets this model relies on.The name of the framework or tool used to generate this model.com.google.protobuf.ByteString
The name of the framework or tool used to generate this model.The version of the framework or tool used to generate this model.com.google.protobuf.ByteString
The version of the framework or tool used to generate this model.getTrainingInfo
(int index) Training-specific information.getTrainingInfoBuilder
(int index) Training-specific information.Training-specific information.int
Training-specific information.Training-specific information.getTrainingInfoOrBuilder
(int index) Training-specific information.List<? extends Onnx.TrainingInfoProtoOrBuilder>
Training-specific information.boolean
A human-readable documentation for this model.boolean
Domain name of the model.boolean
hasGraph()
The parameterized graph that is evaluated to execute the model.boolean
The version of the IR this model targets.boolean
The version of the graph encoded.boolean
The name of the framework or tool used to generate this model.boolean
The version of the framework or tool used to generate this model.protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
final boolean
mergeFrom
(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) mergeFrom
(com.google.protobuf.Message other) mergeFrom
(Onnx.ModelProto other) mergeGraph
(Onnx.GraphProto value) The parameterized graph that is evaluated to execute the model.final Onnx.ModelProto.Builder
mergeUnknownFields
(com.google.protobuf.UnknownFieldSet unknownFields) removeFunctions
(int index) A list of function protos local to the model.removeMetadataProps
(int index) Named metadata values; keys should be distinct.removeOpsetImport
(int index) The OperatorSets this model relies on.removeTrainingInfo
(int index) Training-specific information.setDocString
(String value) A human-readable documentation for this model.setDocStringBytes
(com.google.protobuf.ByteString value) A human-readable documentation for this model.Domain name of the model.setDomainBytes
(com.google.protobuf.ByteString value) Domain name of the model.setFunctions
(int index, Onnx.FunctionProto value) A list of function protos local to the model.setFunctions
(int index, Onnx.FunctionProto.Builder builderForValue) A list of function protos local to the model.setGraph
(Onnx.GraphProto value) The parameterized graph that is evaluated to execute the model.setGraph
(Onnx.GraphProto.Builder builderForValue) The parameterized graph that is evaluated to execute the model.setIrVersion
(long value) The version of the IR this model targets.setMetadataProps
(int index, Onnx.StringStringEntryProto value) Named metadata values; keys should be distinct.setMetadataProps
(int index, Onnx.StringStringEntryProto.Builder builderForValue) Named metadata values; keys should be distinct.setModelVersion
(long value) The version of the graph encoded.setOpsetImport
(int index, Onnx.OperatorSetIdProto value) The OperatorSets this model relies on.setOpsetImport
(int index, Onnx.OperatorSetIdProto.Builder builderForValue) The OperatorSets this model relies on.setProducerName
(String value) The name of the framework or tool used to generate this model.setProducerNameBytes
(com.google.protobuf.ByteString value) The name of the framework or tool used to generate this model.setProducerVersion
(String value) The version of the framework or tool used to generate this model.setProducerVersionBytes
(com.google.protobuf.ByteString value) The version of the framework or tool used to generate this model.setRepeatedField
(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value) setTrainingInfo
(int index, Onnx.TrainingInfoProto value) Training-specific information.setTrainingInfo
(int index, Onnx.TrainingInfoProto.Builder builderForValue) Training-specific information.final Onnx.ModelProto.Builder
setUnknownFields
(com.google.protobuf.UnknownFieldSet unknownFields) Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3
Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString
Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException
Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
Methods inherited from interface com.google.protobuf.Message.Builder
mergeDelimitedFrom, mergeDelimitedFrom
Methods inherited from interface com.google.protobuf.MessageLite.Builder
mergeFrom
Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
-
Method Details
-
getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() -
internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()- Specified by:
internalGetFieldAccessorTable
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
-
clear
- Specified by:
clear
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clear
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clear
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
-
getDescriptorForType
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.Message.Builder
- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.MessageOrBuilder
- Overrides:
getDescriptorForType
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
-
getDefaultInstanceForType
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageOrBuilder
-
build
- Specified by:
build
in interfacecom.google.protobuf.Message.Builder
- Specified by:
build
in interfacecom.google.protobuf.MessageLite.Builder
-
buildPartial
- Specified by:
buildPartial
in interfacecom.google.protobuf.Message.Builder
- Specified by:
buildPartial
in interfacecom.google.protobuf.MessageLite.Builder
-
clone
- Specified by:
clone
in interfacecom.google.protobuf.Message.Builder
- Specified by:
clone
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
clone
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
-
setField
public Onnx.ModelProto.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) - Specified by:
setField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
-
clearField
- Specified by:
clearField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
-
clearOneof
- Specified by:
clearOneof
in interfacecom.google.protobuf.Message.Builder
- Overrides:
clearOneof
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
-
setRepeatedField
public Onnx.ModelProto.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value) - Specified by:
setRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
-
addRepeatedField
public Onnx.ModelProto.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) - Specified by:
addRepeatedField
in interfacecom.google.protobuf.Message.Builder
- Overrides:
addRepeatedField
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
-
mergeFrom
- Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<Onnx.ModelProto.Builder>
-
mergeFrom
-
isInitialized
public final boolean isInitialized()- Specified by:
isInitialized
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Overrides:
isInitialized
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
-
mergeFrom
public Onnx.ModelProto.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Specified by:
mergeFrom
in interfacecom.google.protobuf.Message.Builder
- Specified by:
mergeFrom
in interfacecom.google.protobuf.MessageLite.Builder
- Overrides:
mergeFrom
in classcom.google.protobuf.AbstractMessage.Builder<Onnx.ModelProto.Builder>
- Throws:
IOException
-
hasIrVersion
public boolean hasIrVersion()The version of the IR this model targets. See Version enum above. This field MUST be present.
optional int64 ir_version = 1;
- Specified by:
hasIrVersion
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the irVersion field is set.
-
getIrVersion
public long getIrVersion()The version of the IR this model targets. See Version enum above. This field MUST be present.
optional int64 ir_version = 1;
- Specified by:
getIrVersion
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The irVersion.
-
setIrVersion
The version of the IR this model targets. See Version enum above. This field MUST be present.
optional int64 ir_version = 1;
- Parameters:
value
- The irVersion to set.- Returns:
- This builder for chaining.
-
clearIrVersion
The version of the IR this model targets. See Version enum above. This field MUST be present.
optional int64 ir_version = 1;
- Returns:
- This builder for chaining.
-
getOpsetImportList
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
- Specified by:
getOpsetImportList
in interfaceOnnx.ModelProtoOrBuilder
-
getOpsetImportCount
public int getOpsetImportCount()The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
- Specified by:
getOpsetImportCount
in interfaceOnnx.ModelProtoOrBuilder
-
getOpsetImport
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
- Specified by:
getOpsetImport
in interfaceOnnx.ModelProtoOrBuilder
-
setOpsetImport
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
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setOpsetImport
public Onnx.ModelProto.Builder setOpsetImport(int index, Onnx.OperatorSetIdProto.Builder builderForValue) The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
-
addOpsetImport
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
-
addOpsetImport
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
-
addOpsetImport
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
-
addOpsetImport
public Onnx.ModelProto.Builder addOpsetImport(int index, Onnx.OperatorSetIdProto.Builder builderForValue) The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
-
addAllOpsetImport
public Onnx.ModelProto.Builder addAllOpsetImport(Iterable<? extends Onnx.OperatorSetIdProto> values) The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
-
clearOpsetImport
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
-
removeOpsetImport
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
-
getOpsetImportBuilder
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
-
getOpsetImportOrBuilder
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
- Specified by:
getOpsetImportOrBuilder
in interfaceOnnx.ModelProtoOrBuilder
-
getOpsetImportOrBuilderList
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
- Specified by:
getOpsetImportOrBuilderList
in interfaceOnnx.ModelProtoOrBuilder
-
addOpsetImportBuilder
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
-
addOpsetImportBuilder
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
-
getOpsetImportBuilderList
The OperatorSets this model relies on. All ModelProtos MUST have at least one entry that specifies which version of the ONNX OperatorSet is being imported. All nodes in the ModelProto's graph will bind against the operator with the same-domain/same-op_type operator with the HIGHEST version in the referenced operator sets.
repeated .onnx.OperatorSetIdProto opset_import = 8;
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hasProducerName
public boolean hasProducerName()The name of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_name = 2;
- Specified by:
hasProducerName
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the producerName field is set.
-
getProducerName
The name of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_name = 2;
- Specified by:
getProducerName
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The producerName.
-
getProducerNameBytes
public com.google.protobuf.ByteString getProducerNameBytes()The name of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_name = 2;
- Specified by:
getProducerNameBytes
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The bytes for producerName.
-
setProducerName
The name of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_name = 2;
- Parameters:
value
- The producerName to set.- Returns:
- This builder for chaining.
-
clearProducerName
The name of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_name = 2;
- Returns:
- This builder for chaining.
-
setProducerNameBytes
The name of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_name = 2;
- Parameters:
value
- The bytes for producerName to set.- Returns:
- This builder for chaining.
-
hasProducerVersion
public boolean hasProducerVersion()The version of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_version = 3;
- Specified by:
hasProducerVersion
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the producerVersion field is set.
-
getProducerVersion
The version of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_version = 3;
- Specified by:
getProducerVersion
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The producerVersion.
-
getProducerVersionBytes
public com.google.protobuf.ByteString getProducerVersionBytes()The version of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_version = 3;
- Specified by:
getProducerVersionBytes
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The bytes for producerVersion.
-
setProducerVersion
The version of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_version = 3;
- Parameters:
value
- The producerVersion to set.- Returns:
- This builder for chaining.
-
clearProducerVersion
The version of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_version = 3;
- Returns:
- This builder for chaining.
-
setProducerVersionBytes
The version of the framework or tool used to generate this model. This field SHOULD be present to indicate which implementation/tool/framework emitted the model.
optional string producer_version = 3;
- Parameters:
value
- The bytes for producerVersion to set.- Returns:
- This builder for chaining.
-
hasDomain
public boolean hasDomain()Domain name of the model. We use reverse domain names as name space indicators. For example: `com.facebook.fair` or `com.microsoft.cognitiveservices` Together with `model_version` and GraphProto.name, this forms the unique identity of the graph.
optional string domain = 4;
- Specified by:
hasDomain
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the domain field is set.
-
getDomain
Domain name of the model. We use reverse domain names as name space indicators. For example: `com.facebook.fair` or `com.microsoft.cognitiveservices` Together with `model_version` and GraphProto.name, this forms the unique identity of the graph.
optional string domain = 4;
- Specified by:
getDomain
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The domain.
-
getDomainBytes
public com.google.protobuf.ByteString getDomainBytes()Domain name of the model. We use reverse domain names as name space indicators. For example: `com.facebook.fair` or `com.microsoft.cognitiveservices` Together with `model_version` and GraphProto.name, this forms the unique identity of the graph.
optional string domain = 4;
- Specified by:
getDomainBytes
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The bytes for domain.
-
setDomain
Domain name of the model. We use reverse domain names as name space indicators. For example: `com.facebook.fair` or `com.microsoft.cognitiveservices` Together with `model_version` and GraphProto.name, this forms the unique identity of the graph.
optional string domain = 4;
- Parameters:
value
- The domain to set.- Returns:
- This builder for chaining.
-
clearDomain
Domain name of the model. We use reverse domain names as name space indicators. For example: `com.facebook.fair` or `com.microsoft.cognitiveservices` Together with `model_version` and GraphProto.name, this forms the unique identity of the graph.
optional string domain = 4;
- Returns:
- This builder for chaining.
-
setDomainBytes
Domain name of the model. We use reverse domain names as name space indicators. For example: `com.facebook.fair` or `com.microsoft.cognitiveservices` Together with `model_version` and GraphProto.name, this forms the unique identity of the graph.
optional string domain = 4;
- Parameters:
value
- The bytes for domain to set.- Returns:
- This builder for chaining.
-
hasModelVersion
public boolean hasModelVersion()The version of the graph encoded. See Version enum below.
optional int64 model_version = 5;
- Specified by:
hasModelVersion
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the modelVersion field is set.
-
getModelVersion
public long getModelVersion()The version of the graph encoded. See Version enum below.
optional int64 model_version = 5;
- Specified by:
getModelVersion
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The modelVersion.
-
setModelVersion
The version of the graph encoded. See Version enum below.
optional int64 model_version = 5;
- Parameters:
value
- The modelVersion to set.- Returns:
- This builder for chaining.
-
clearModelVersion
The version of the graph encoded. See Version enum below.
optional int64 model_version = 5;
- Returns:
- This builder for chaining.
-
hasDocString
public boolean hasDocString()A human-readable documentation for this model. Markdown is allowed.
optional string doc_string = 6;
- Specified by:
hasDocString
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the docString field is set.
-
getDocString
A human-readable documentation for this model. Markdown is allowed.
optional string doc_string = 6;
- Specified by:
getDocString
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The docString.
-
getDocStringBytes
public com.google.protobuf.ByteString getDocStringBytes()A human-readable documentation for this model. Markdown is allowed.
optional string doc_string = 6;
- Specified by:
getDocStringBytes
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The bytes for docString.
-
setDocString
A human-readable documentation for this model. Markdown is allowed.
optional string doc_string = 6;
- Parameters:
value
- The docString to set.- Returns:
- This builder for chaining.
-
clearDocString
A human-readable documentation for this model. Markdown is allowed.
optional string doc_string = 6;
- Returns:
- This builder for chaining.
-
setDocStringBytes
A human-readable documentation for this model. Markdown is allowed.
optional string doc_string = 6;
- Parameters:
value
- The bytes for docString to set.- Returns:
- This builder for chaining.
-
hasGraph
public boolean hasGraph()The parameterized graph that is evaluated to execute the model.
optional .onnx.GraphProto graph = 7;
- Specified by:
hasGraph
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the graph field is set.
-
getGraph
The parameterized graph that is evaluated to execute the model.
optional .onnx.GraphProto graph = 7;
- Specified by:
getGraph
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The graph.
-
setGraph
The parameterized graph that is evaluated to execute the model.
optional .onnx.GraphProto graph = 7;
-
setGraph
The parameterized graph that is evaluated to execute the model.
optional .onnx.GraphProto graph = 7;
-
mergeGraph
The parameterized graph that is evaluated to execute the model.
optional .onnx.GraphProto graph = 7;
-
clearGraph
The parameterized graph that is evaluated to execute the model.
optional .onnx.GraphProto graph = 7;
-
getGraphBuilder
The parameterized graph that is evaluated to execute the model.
optional .onnx.GraphProto graph = 7;
-
getGraphOrBuilder
The parameterized graph that is evaluated to execute the model.
optional .onnx.GraphProto graph = 7;
- Specified by:
getGraphOrBuilder
in interfaceOnnx.ModelProtoOrBuilder
-
getMetadataPropsList
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
- Specified by:
getMetadataPropsList
in interfaceOnnx.ModelProtoOrBuilder
-
getMetadataPropsCount
public int getMetadataPropsCount()Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
- Specified by:
getMetadataPropsCount
in interfaceOnnx.ModelProtoOrBuilder
-
getMetadataProps
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
- Specified by:
getMetadataProps
in interfaceOnnx.ModelProtoOrBuilder
-
setMetadataProps
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
setMetadataProps
public Onnx.ModelProto.Builder setMetadataProps(int index, Onnx.StringStringEntryProto.Builder builderForValue) Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
addMetadataProps
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
addMetadataProps
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
addMetadataProps
public Onnx.ModelProto.Builder addMetadataProps(Onnx.StringStringEntryProto.Builder builderForValue) Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
addMetadataProps
public Onnx.ModelProto.Builder addMetadataProps(int index, Onnx.StringStringEntryProto.Builder builderForValue) Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
addAllMetadataProps
public Onnx.ModelProto.Builder addAllMetadataProps(Iterable<? extends Onnx.StringStringEntryProto> values) Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
clearMetadataProps
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
removeMetadataProps
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
getMetadataPropsBuilder
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
getMetadataPropsOrBuilder
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
- Specified by:
getMetadataPropsOrBuilder
in interfaceOnnx.ModelProtoOrBuilder
-
getMetadataPropsOrBuilderList
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
- Specified by:
getMetadataPropsOrBuilderList
in interfaceOnnx.ModelProtoOrBuilder
-
addMetadataPropsBuilder
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
addMetadataPropsBuilder
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
getMetadataPropsBuilderList
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
-
getTrainingInfoList
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
- Specified by:
getTrainingInfoList
in interfaceOnnx.ModelProtoOrBuilder
-
getTrainingInfoCount
public int getTrainingInfoCount()Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
- Specified by:
getTrainingInfoCount
in interfaceOnnx.ModelProtoOrBuilder
-
getTrainingInfo
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
- Specified by:
getTrainingInfo
in interfaceOnnx.ModelProtoOrBuilder
-
setTrainingInfo
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
setTrainingInfo
public Onnx.ModelProto.Builder setTrainingInfo(int index, Onnx.TrainingInfoProto.Builder builderForValue) Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
addTrainingInfo
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
addTrainingInfo
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
addTrainingInfo
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
addTrainingInfo
public Onnx.ModelProto.Builder addTrainingInfo(int index, Onnx.TrainingInfoProto.Builder builderForValue) Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
addAllTrainingInfo
public Onnx.ModelProto.Builder addAllTrainingInfo(Iterable<? extends Onnx.TrainingInfoProto> values) Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
clearTrainingInfo
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
removeTrainingInfo
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
getTrainingInfoBuilder
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
getTrainingInfoOrBuilder
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
- Specified by:
getTrainingInfoOrBuilder
in interfaceOnnx.ModelProtoOrBuilder
-
getTrainingInfoOrBuilderList
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
- Specified by:
getTrainingInfoOrBuilderList
in interfaceOnnx.ModelProtoOrBuilder
-
addTrainingInfoBuilder
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
addTrainingInfoBuilder
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
getTrainingInfoBuilderList
Training-specific information. Sequentially executing all stored `TrainingInfoProto.algorithm`s and assigning their outputs following the corresponding `TrainingInfoProto.update_binding`s is one training iteration. Similarly, to initialize the model (as if training hasn't happened), the user should sequentially execute all stored `TrainingInfoProto.initialization`s and assigns their outputs using `TrainingInfoProto.initialization_binding`s. If this field is empty, the training behavior of the model is undefined.
repeated .onnx.TrainingInfoProto training_info = 20;
-
getFunctionsList
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
- Specified by:
getFunctionsList
in interfaceOnnx.ModelProtoOrBuilder
-
getFunctionsCount
public int getFunctionsCount()A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
- Specified by:
getFunctionsCount
in interfaceOnnx.ModelProtoOrBuilder
-
getFunctions
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
- Specified by:
getFunctions
in interfaceOnnx.ModelProtoOrBuilder
-
setFunctions
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
-
setFunctions
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
-
addFunctions
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
-
addFunctions
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
-
addFunctions
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
-
addFunctions
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
-
addAllFunctions
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
-
clearFunctions
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
-
removeFunctions
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
-
getFunctionsBuilder
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
-
getFunctionsOrBuilder
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
- Specified by:
getFunctionsOrBuilder
in interfaceOnnx.ModelProtoOrBuilder
-
getFunctionsOrBuilderList
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
- Specified by:
getFunctionsOrBuilderList
in interfaceOnnx.ModelProtoOrBuilder
-
addFunctionsBuilder
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
-
addFunctionsBuilder
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
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getFunctionsBuilderList
A list of function protos local to the model. Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain". In case of any conflicts the behavior (whether the model local functions are given higher priority, or standard operator sets are given higher priotity or this is treated as error) is defined by the runtimes. The operator sets imported by FunctionProto should be compatible with the ones imported by ModelProto and other model local FunctionProtos. Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto or by 2 FunctionProtos then versions for the operator set may be different but, the operator schema returned for op_type, domain, version combination for both the versions should be same for every node in the function body. One FunctionProto can reference other FunctionProto in the model, however, recursive reference is not allowed.
repeated .onnx.FunctionProto functions = 25;
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setUnknownFields
public final Onnx.ModelProto.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) - Specified by:
setUnknownFields
in interfacecom.google.protobuf.Message.Builder
- Overrides:
setUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
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mergeUnknownFields
public final Onnx.ModelProto.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) - Specified by:
mergeUnknownFields
in interfacecom.google.protobuf.Message.Builder
- Overrides:
mergeUnknownFields
in classcom.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
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